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» Combining microarrays and genetic analysis
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BMCBI
2002
214views more  BMCBI 2002»
13 years 9 months ago
Automated modelling of signal transduction networks
Background: Intracellular signal transduction is achieved by networks of proteins and small molecules that transmit information from the cell surface to the nucleus, where they ul...
Martin Steffen, Allegra Petti, John Aach, Patrik D...
BMCBI
2011
13 years 1 months ago
Inference of Chromosome-Specific Copy Numbers Using Population Haplotypes
Background: Using microarray and sequencing platforms, a large number of copy number variations (CNVs) have been identified in humans. In practice, because our human genome is a d...
Yao-Ting Huang, Min-Han Wu
GFKL
2007
Springer
148views Data Mining» more  GFKL 2007»
14 years 4 months ago
Mixture Model Based Group Inference in Fused Genotype and Phenotype Data
The analysis of genetic diseases has classically been directed towards establishing direct links between cause, a genetic variation, and effect, the observable deviation of phenot...
Benjamin Georgi, M. Anne Spence, Pamela Flodman, A...
BMCBI
2007
167views more  BMCBI 2007»
13 years 10 months ago
A stochastic differential equation model for transcriptional regulatory networks
Background: This work explores the quantitative characteristics of the local transcriptional regulatory network based on the availability of time dependent gene expression data se...
Adriana Climescu-Haulica, Michelle D. Quirk
FPL
2003
Springer
128views Hardware» more  FPL 2003»
14 years 3 months ago
Case Study of a Functional Genomics Application
Although microarrays are already having a tremendous impact on biomedical science, they still present great computational challenges. We examine a particular problem involving the...
Tom Van Court, Martin C. Herbordt, Richard J. Bart...